AI Coding Interviews That Actually Grade Reasoning

An AI coding interview is a technical interview conducted by an autonomous AI instead of a human engineer. Yupcha presents a real coding problem, watches the candidate write and run code in a live sandbox, asks adaptive follow-up questions about their approach, and grades correctness, code quality, and problem-solving — then delivers a scored report within minutes. No engineer time is spent on the first round.

Yupcha runs and grades code in 30+ languages including Python, JavaScript, TypeScript, Java, C++, C#, Go, Rust, Ruby, PHP, Swift, Kotlin, and SQL. Candidates write in a full in-browser IDE with syntax highlighting, and Yupcha executes their code against test cases in real time.

Yupcha scores each submission across multiple dimensions: correctness (does it pass the test cases), code quality (structure, readability, best practices), problem-solving approach (how the candidate reasoned about the problem), and time/space complexity. The AI also reviews the candidate's verbal explanation of their solution for a complete technical signal.

Yes. Yupcha runs 50+ integrity signals on every session — detecting pasted code, tab-switching, external assistance, and answer patterns inconsistent with the candidate's stated experience. The result is a coding score you can actually trust before inviting someone onsite.

Both. You can run a fully autonomous live coding interview where the AI conducts the session in real time, or send an asynchronous coding challenge that candidates complete on their own schedule. Either way, grading and the ranked report are automatic.

Traditional coding tests only check whether the output is correct — they don't evaluate how a candidate thinks. Yupcha conducts a conversational coding interview: it watches the candidate code, asks why they made certain decisions, probes edge cases, and grades reasoning alongside correctness. It replaces the first technical round, not just an auto-graded quiz.